Triple

T5343415
Position Surface form Disambiguated ID Type / Status
Subject Ludwig Guttmann E123995 entity
Predicate familyName P18 FINISHED
Object Guttmann
Guttmann is a German-language surname most notably associated with Sir Ludwig Guttmann, a pioneering neurologist and founder of the Paralympic movement.
 E511338 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Guttmann | Statement: [Ludwig Guttmann, familyName, Guttmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guttmann
Context triple: [Ludwig Guttmann, familyName, Guttmann]
  • A. Furthman
    Furthman is a surname most notably associated with American screenwriter Jules Furthman, known for his work on classic Hollywood films.
  • B. Gütermann
    Gütermann is a German surname most notably associated with the Gütermann family involved in industry and manufacturing, particularly in the production of sewing threads.
  • C. Schoenfeld
    Schoenfeld is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
  • D. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • E. Wittmann
    Wittmann is a German surname borne by various notable individuals across fields such as military history, sports, and academia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Guttmann
Triple: [Ludwig Guttmann, familyName, Guttmann]
Generated description
Guttmann is a German-language surname most notably associated with Sir Ludwig Guttmann, a pioneering neurologist and founder of the Paralympic movement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guttmann
Target entity description: Guttmann is a German-language surname most notably associated with Sir Ludwig Guttmann, a pioneering neurologist and founder of the Paralympic movement.
  • A. Furthman
    Furthman is a surname most notably associated with American screenwriter Jules Furthman, known for his work on classic Hollywood films.
  • B. Gütermann
    Gütermann is a German surname most notably associated with the Gütermann family involved in industry and manufacturing, particularly in the production of sewing threads.
  • C. Schoenfeld
    Schoenfeld is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
  • D. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • E. Wittmann
    Wittmann is a German surname borne by various notable individuals across fields such as military history, sports, and academia.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85e86edc81908d87933db6489f91 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18ce6aac819093b36992303c5b1c completed March 21, 2026, 10:16 p.m.
NEDg Description generation batch_69bf198574ec8190b4e142c6c783f377 completed March 21, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_69bf19e2d1fc81909030e32bb18d46dc completed March 21, 2026, 10:21 p.m.
Created at: March 20, 2026, 2:01 p.m.